期刊名称：Iranian Journal of Information Processing & Management
印刷版ISSN：2251-8223
电子版ISSN：2251-8231
出版年度：2017
卷号：32
期号：4
页码：1143-1170
出版社：Iranian Research Institute for Information and Technology
摘要：One of the most primary phases of automatic text processing is spelling error detection and grapheme normalization. Storing textual documents faces several problems without passing this phase, which causes a disturbance in retrieving the documents automatically. Therefore, specialists in the fields of natural language processing and computational linguistics usually make an attempt to sample various data through presenting ideal methods and algorithms in order to reach the normalized data. Several researches have been conducted on English and some other languages, which have been followed by a certain amount of researches on Farsi too. Sometimes, these several researches have remained to be a pure study and sometimes they have been released as a product. This paper carries out the categorization of the different methods and essential datasets in these researches and depicts each category individually and the evaluation measurements methods generally. Moreover, it describes the performance of the monolingual Farsi systems and the way they meet the Farsi challenges.
关键词：Spelling Error Detection ; Grapheme Normalization ; Categorization of the Methods ; Monolingual Farsi Systems ; Farsi Language Challenges
